Technical Indicators for the Pandas' Dataframes
Project description
Technical Indicators for the Pandas’ Dataframes
Documentation: https://pandastechindicators.readthedocs.io/en/latest/
Installation
pip install -U tapy
Example
>>> import pandas as pd
>>> from tapy import Indicators
>>> df = pd.read_csv('EURUSD60.csv')
>>> indicators = Indicators(df)
>>> indicators.accelerator_oscillator(column_name='AC')
>>> indicators.sma()
>>> df = indicators.df
>>> df.tail()
Date Time Open High Low Close Volume AC sma
3723 2019.09.20 16:00 1.10022 1.10105 1.10010 1.10070 2888 -0.001155 1.101296
3724 2019.09.20 17:00 1.10068 1.10193 1.10054 1.10184 6116 -0.000820 1.101158
3725 2019.09.20 18:00 1.10186 1.10194 1.10095 1.10144 3757 -0.000400 1.101056
3726 2019.09.20 19:00 1.10146 1.10215 1.10121 1.10188 3069 0.000022 1.101216
3727 2019.09.20 20:00 1.10184 1.10215 1.10147 1.10167 1224 0.000388 1.101506
Available Indicators
- Accelerator Oscillator (AC)
- Accumulation/Distribution (A/D)
- Alligator
- Average True Range (ATR)
- Awesome Oscillator (AO)
- Bears Power
- Bollinger Bands
- Bulls Power
- Commodity Channel Index (CCI)
- DeMarker (DeM)
- Exponential Moving Average (EMA)
- Force Index (FRC)
- Fractals
- Gator Oscillator
- Ichimoku Kinko Hyo
- Market Facilitation Index (BW MFI)
- Momentum
- Money Flow Index (MFI)
- Moving Average Convergence/Divergence (MACD)
- Simple Moving Average (SMA)
- Smoothed Moving Average (SMMA)
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